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astropy_mpl_style visualization causes plt.colorbar() MatplotlibDeprecationWarning in Matplotlib 3.5 #12753
Description
Description
The astropy.visualization.astropy_mpl_style dictionary has 'axes.grid' set to True, this triggers a plt.colorbar() MatplotlibDeprecationWarning message for pyplot.imshow in Matplotlib version 3.5. Examples such as ones found here reference will trigger the warning message.
MatplotlibDeprecationWarning: Auto-removal of
grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed t
wo minor releases later; please call grid(False) first.
plt.colorbar()
Expected behavior
No deprecation warning message.
Actual behavior
Steps to Reproduce
- Install Matplotlib version 3.5
- Run the following code
import matplotlib.pyplot as plt
from astropy.visualization import astropy_mpl_style
plt.style.use(astropy_mpl_style)
from astropy.utils.data import get_pkg_data_filename
from astropy.io import fits
image_file = get_pkg_data_filename('tutorials/FITS-images/HorseHead.fits')
fits.info(image_file)
image_data = fits.getdata(image_file, ext=0)
plt.figure()
plt.imshow(image_data, cmap='gray')
plt.colorbar()System Details
Windows-10-10.0.18362-SP0
Python 3.8.8 (default, Apr 13 2021, 15:08:03) [MSC v.1916 64 bit (AMD64)]
Numpy 1.20.3
pyerfa 2.0.0
astropy 5.0
Scipy 1.7.3
Matplotlib 3.5.0
Activity
github-actions commentedon Jan 20, 2022
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pllim commentedon Jan 20, 2022
I think this is related to matplotlib/matplotlib#21723 . We have
axes.gridset toTrue, so not sure why we are even seeing this.astropy/astropy/visualization/mpl_style.py
Line 32 in ed016c0
lanemeier commentedon Jan 20, 2022
Thanks for responding so quickly and mentioning this to matplotlib. I can work around it, but I wanted to alert the project about the potential issue with grids in styles.
Users may find the warning concerning. See https://stackoverflow.com/q/69999315/15531842
pllim commentedon Jan 21, 2022
Yes, definitely good to know of these warnings earlier than later. Thanks for the report!
pllim commentedon Jan 25, 2022
I cannot tell if matplotlib/matplotlib#22285 had fixed your problem. Are you able to test out your use case with dev version of matplotlib? Or maybe even better, add a test that would trigger this in our test suite and see which jobs still fail? Thanks!
lanemeier commentedon Jan 26, 2022
I pulled down the latest master matplotlib-3.6.0.dev1433+g9844e9ffad and confirmed that the warning message is gone.
Wish I had more time to add the test into the suite.